486 search results - page 8 / 98 » Learning bilinear models for two-factor problems in vision |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
ECCV
2010
Springer
14 years 26 days ago
2010
Springer
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
39
Voted
AAAI
2012
11 years 10 months ago
2012
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...